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- Filters actually get applied now, huge accuracy boost
- Use silero-vad python library instead of rolling our own
- Expose prompt parameter
- Auto setup venv on launch
- Clean up python output
- Auto acquire all dependencies on launch
- Add icon
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This is a much faster, lower-VRAM reimplementation of Whisper in Python.
Early testing is extremely promising: fast transcription speed,
extremely low resource usage (CPU/RAM/VRAM), high accuracy.
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GUI now generates parameters & menu.
Still need to handle write defaults.
* Add capability to append to avatar parameters & menu
* Install canned Unity assets, shaders, and fonts in avatar folder
* Check in materials for ease of use
* Bugfix: correctly label menu/parameters file pickers
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* Update README with contribution instructions & design details.
* Add text-to-text demo gif
* Document known Unity landmines in generate.sh.
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Summary: added generator for animations and FX layer.
* add generate_animations.sh
* generates an animation for every cell (14*6=72) and every letter (60);
72*60 = 4212 total animations
* add generate_fx.py
* seems to work in-game
* drives every parameter needed
* add {group,cell}_names.txt
* name of every group & cell parameter
* the STT has 72 individual character slots called cells. They are
grouped into 4-character groups to save on parameter bandwidth.
Thus each slot may be indexed with 8 bits.
* add SetLetters.cs
* this thingy looks at each group parameter and uses it to set each
cell parameter. The generated fx layer hooks the script in.
* check in SDK-generated assets as references until code generators are
complete
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